| id |
ascaad2023_011 |
| authors |
Shu, Kun; Bao, Ding; Feng, Zhuo; Liu, Zhi |
| year |
2023 |
| title |
A Hybrid Generative Design Method for Optimizing Energy Efficiency in Complex Built Environments |
| source |
C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 847-862. |
| summary |
Architectural design issues in Complex Built Environments have drawn significant attention from contemporary architects. In the conceptual design phase, previous architectural design methods only accentuate the form and function of the design outcome while neglecting whether the result meets the energy efficiency specifications in the current built environment. Therefore, discovering a new method of architectural design by considering the impact of different design elements/modules on the whole life cycle of the building would meet the need for energy efficiency and emission reduction. This paper serves as a demonstration, utilizing the future Faculty of Architecture, Building and Planning (ABP) building at the University of Melbourne’s Fishermans Bend innovation campus as a prime example, to evaluate the effectiveness of the SimScale Workbench in creating an energy-efficient parametric building information model and generating Integrated Environmental Solution (IES) simulations to analyze the changes in the energy consumption ratio throughout the whole year. By proposing indoor performance targets based on wind and thermal environment analysis, Architects could use hybrid generative building design methods to formulate design strategies for the complex-built environment from an energy efficiency-driven perspective. |
| series |
ASCAAD |
| email |
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| full text |
 file.pdf (619,850 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/02/13 14:34 |
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